Stebėti
Chiheb Ben Mahmoud
Chiheb Ben Mahmoud
Swiss National Science Foundation Fellow, University of Oxford
Patvirtintas el. paštas chem.ox.ac.uk
Pavadinimas
Cituota
Cituota
Metai
Origins of structural and electronic transitions in disordered silicon
VL Deringer, N Bernstein, G Csányi, C Ben Mahmoud, M Ceriotti, ...
Nature 589 (7840), 59-64, 2021
2962021
Learning the electronic density of states in condensed matter
C Ben Mahmoud, A Anelli, G Csányi, M Ceriotti
Physical Review B 102 (23), 235130, 2020
1172020
Finite-temperature materials modeling from the quantum nuclei to the hot electron regime
N Lopanitsyna, C Ben Mahmoud, M Ceriotti
Physical Review Materials 5 (4), 043802, 2021
272021
Robustness of local predictions in atomistic machine learning models
S Chong, F Grasselli, C Ben Mahmoud, JD Morrow, VL Deringer, ...
Journal of Chemical Theory and Computation 19 (22), 8020-8031, 2023
212023
Predicting hot-electron free energies from ground-state data
C Ben Mahmoud, F Grasselli, M Ceriotti
Physical Review B 106 (12), L121116, 2022
102022
Data as the next challenge in atomistic machine learning
C Ben Mahmoud, JLA Gardner, VL Deringer
Nature Computational Science 4 (6), 384-387, 2024
82024
Miss Iona Anderson, Imperial College London, United Kingdom Dr Andy Anker, Technical University of Denmark and University of Oxford, Denmark and United Kingdom Dr Dmytro …
MA Arya, MB Asher, A Aspuru-Guzik, MT Bechtel, G Bell, CB Mahmoud, ...
Faraday Discuss 256, 696-699, 2025
2025
Graph-neural-network predictions of solid-state NMR parameters from spherical tensor decomposition
C Ben Mahmoud, LAM Rosset, JR Yates, VL Deringer
arXiv preprint arXiv:2412.15063, 2024
2024
Machine-learning the electronic density of states: electronic properties without quantum mechanics
C Ben Mahmoud
EPFL, 2023
2023
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Straipsniai 1–9